Papers
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
Shengchao Liu, Yingyu Liang, Anthony Gitter
Loss Landscapes of Regularized Linear Autoencoders
Daniel Kunin, Jonathan Bloom, Aleksandrina Goeva et al.
Lossless or Quantized Boosting with Integer Arithmetic
Richard Nock, Robert Williamson
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation
Nikolai Vogler, Craig Stewart, Graham Neubig
Lost in Machine Translation: A Method to Reduce Meaning Loss
Reuben Cohn-Gordon, Noah Goodman
Lovasz Convolutional Networks
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati et al.
Low-Bit Quantization for Attributed Network Representation Learning
Hong Yang, Shirui Pan, Ling Chen et al.
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
Alix LHERITIER, Frederic Cazals
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
David B. Ramsay, Kevin Kilgour, Dominik Roblek et al.
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
Petar Stojanov, Mingming Gong, Jaime Carbonell et al.
Low-Distortion Social Welfare Functions
Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao
Lower Bounds for Locally Private Estimation via Communication Complexity
John Duchi, Ryan Rogers
Lower Bounds for Parallel and Randomized Convex Optimization
Jelena Diakonikolas, Cristóbal Guzmán
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
Dongruo Zhou, Quanquan Gu
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models
Ivona Bezáková, Antonio Blanca, Zongchen Chen et al.
Lower Bounds on Adversarial Robustness from Optimal Transport
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Low Frequency Adversarial Perturbation
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
Low Latency Privacy Preserving Inference
Alon Brutzkus, Ran Gilad-Bachrach, Oren Elisha
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation
Jian Zhang, Avner May, Tri Dao et al.
Low-Rank Approximations of Second-Order Document Representations
Jarkko Lagus, Janne Sinkkonen, Arto Klami
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas W Mueller, Vasilis Syrgkanis, Matt Taddy